Ken Barker is a professor of computer science at the University of Calgary. He holds a PhD in computing science from the University of Alberta (1990) and has many years of experience working with industrial computer systems. He has interest in system integration, distributed systems and the privacy and security of data repositories. He has served as the dean of the faculty of science and as head of computer science at the University of Calgary. He is the director of the University of Calgary’s Institute for Security, Privacy and Information Assurance and the president of the Alberta body of the Canadian Information Processing Society (CIPS Alberta). He is a past president of the Canadian Association of Computer Science (CACS/AIC) and has served on the Computer Science Accreditation Council. He has served as the Dean of the Faculty of Science and as the Department Head of Computer Science at the University of Calgary. As the director of research laboratories at the University of Calgary and University of Manitoba he has supervised over 60 graduate students, in addition to several postdoctorates and research assistants. Dr. Barker has published over 200 peer-reviewed publications.

Gautam Biswas is a Cornelius Vanderbilt Professor of Engineering, Professor of Computer Science and Computer Engineering in the EECS Department, and a Senior Research Scientist at the Institute for Software Integrated Systems (ISIS) at Vanderbilt University. He has an undergraduate degree in Electrical Engineering from the Indian Institute of Technology (IIT) in Mumbai, India, and M.S. and Ph.D. degrees in Computer Science from Michigan State University in E. Lansing, MI. Prof. Biswas conducts research in Intelligent Systems with primary interests in hybrid modeling, simulation, and analysis of Cyber Physical systems, and their applications to diagnosis, prognosis, and fault-adaptive control. As part of this work, he has worked on fault diagnosis and fault-adaptive control of secondary sodium cooling systems for nuclear reactors, automobile engine coolant systems, fuel transfer systems for aircraft, Advanced Life Support systems and power distribution systems for NASA. He has also initiated new projects in health management of complex systems, which includes online algorithms for distributed monitoring, diagnosis, and prognosis. More recently, he is working on data mining for diagnosis, and developing methods that combine model-based and data-driven approaches for diagnostic and prognostic reasoning. This work, in conjunction with Honeywell Technical Center and NASA Ames, includes developing sophisticated data mining algorithms for extracting causal relations amongst variables and parameters in a system. For this work, he received the NASA 2011 Aeronautics Research Mission Directorate Technology and Innovation Group Award for Vehicle Level Reasoning System and Data Mining methods to improve aircraft diagnostic and prognostic systems. In other research projects, he is involved in developing simulation-based environments for learning and instruction. He has also developed innovative educational data mining techniques for studying students’ learning behaviors and linking them to metacognitive strategies. His research has been supported by funding from ARL, NASA, NSF, DARPA, and the US Department of Education. His industrial collaborators include Airbus, Honeywell Technical Center, and Boeing Research and Development. He has published extensively, and has over 600 refereed publications. Dr. Biswas a Fellow of the IEEE and the Prognostics and Health Management (PHM) Society, and member of the ACM, AAAI, AIED, and the Sigma Xi Research Societies.

After a period spent at the TU Delft, The Netherlands, he received a Ph.D. degree in computer science from the University of Bologna, Italy, in 2015. He is currently Adjunct Professor and Post-doctoral Researcher with the Department of Computer Science and Engineering of the University of Bologna, in Cesena, Italy. His research activity focuses on security, privacy, probabilistic data structures and smart cities. He has published on location privacy, border controls, secure and privacy-preserving tracking and monitoring technologies, location-aware applications and urban ICT infrastructures.

Debiao He received his Ph.D. degree in applied mathematics from School of Mathematics and Statistics, Wuhan University in 2009. He is currently a professor of the School of Cyber Science and Engineering, Wuhan University. His main research interests include cryptography and information security, in particular, cryptographic protocols.

Qiong Huang is a professor and vice dean of College of Mathematics and Informatics, South China Agricultural University. His main research interest is cryptography and information security. He has published nearly 100 research papers in well known international conferences and journals. He is a receiver of Guangdong Natural Science Funds for Distinguished Young Scholar, Guangdong Program for Special Support of Top-notch Young Professionals, Pearl River Nova Program of Guangzhou. He has served as a program committee member of several international conferences, and as a peer reviewer of more than 30 international journals. He won the 15th Fok Ying-Tong Education Foundation Award for Young Teachers in Higher Education Institutes, and 2017 ACM China New Star Award of Guangzhou Branch.

Qi Li is an associate professor of Institute for Network Sciences and Cyberspace, Tsinghua University. His research interests are in network and system security, particularly in Internet security, mobile security, and big data security.

Yashwant K. Malaiya is a Professor in the Computer Science Department at Colorado State University. He received his MS in Physics from Sagar University, MScTech in Electronics from BITS Pilani and PhD in Electrical Engineering from Utah State University. He has published widely in the areas of quantitative security, fault modeling, software and hardware reliability and testing. He has been a receipient of the IEEE Third Millennium Medal, and the IEEE CS Golden Core Award. His contributions include Antirandom testing concept and the Alhazmi-Malaiya Vulnerability Discovery Model.

Dr. Saraju P. Mohanty is a Professor at the University of North Texas. Prof. Mohanty’s research is in “Smart Electronic Systems” which has been funded by NSF, SRC, US Air Force, IUSSTF, and Mission Innovation. He has over 20 years of research experience on security and protection of media, hardware, and system. He introduced the Secure Digital Camera (SDC) in 2004 with built-in security features designed using Hardware-Assisted Security (HAS) or Secure by Design (SbD) principle. His the widely credited as the designer for the first digital watermarking chip in 2004 and first the low-power digital watermarking chip in 2006. He has authored 300 research articles, 4 books, and invented 4 US patents. His Google Scholar h-index is 35 and i10-index is 126 with 5200+ citations. He is a recipient of 11 best paper awards, IEEE Consumer Electronics Society Outstanding Service Award in 2020 for contributions to the IEEE CE society, the IEEE-CS-TCVLSI Distinguished Leadership Award in 2018 for services to the IEEE and to the VLSI research community, and the 2016 PROSE Award for Best Textbook in Physical Sciences and Mathematics category from the Association of American Publishers for his Mixed-Signal System Design book. He has delivered 9 keynotes and served on 5 panels at various International Conferences. He is currently the Editor-in-Chief (EiC) of the IEEE Consumer Electronics Magazine (MCE). He has mentored 2 post-doctoral researchers, and supervised 11 Ph.D. dissertations, 26 M.S. theses, and 12 undergraduate research projects.

Dr. Kshirasagar (Sagar) Naik is a Full Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. Previously, he held faculty positions at Carleton University in Ottawa and University of Aizu in Japan. He worked as a software developer for three years in Wipro, Bangalore – now one of the largest software consultancy companies in the world. His research interests include Internet of Things (IoT), energy performance testing of mobile applications, detection of anomalous behavior of wireless devices and cyber-physical systems, energy harvesting IoT devices for sustainable monitoring of physical systems, security of communication and cyber-physical systems, communication protocols for smart power grids, and adversarial machine learning. Designing mathematical models and building prototype sensor networks for performing real-life, controlled experiments lie at the core of his research. He has served on the editorial boards of many journals, including: Journal of Peer-to-Peer Networking and Applications, International Journal of Parallel, Emergent and Distributed Systems, Journal of Circuits, Systems, and Computers, and IEEE Transactions on Parallel and Distributed Systems. He was a co-guest editor of four special issues of IEEE Journal on Selected Areas in Communications and IEEE Transactions on Cloud Computing. He is a co-author of two widely used textbooks, namely, Software Testing and Quality Assurance: Theory and Practice (Wiley, 2008) and Software Evolution and Maintenance: A Practitioner’s Approach (Wiley, 2014).

Nathalie Japkowicz is a Professor and Chair in the Computer Science at American University. She was previously with the School of Electrical Engineering and Computer Science at the University of Ottawa where she lead the Laboratory for Research on Machine Learning for Defense and Security. Over the years, she has supervised over thirty graduate students, received funding from Canadian Federal and Provincial institutions (NSERC, DRDC, Health Canada, OCE, MITACS, CITO), worked with private companies (Girih, Larus Technologies, Weather Telematics, TechInsights, Ciena) and published over 100 articles, papers and books including Evaluating Learning Algorithms: A Classification Perspective, with Mohak Shah (Cambridge University Press, 2011) and Big Data Analysis: New Algorithms for a New Society, with Jerzy Stefanowski (Springer, 2016).

Dr. Josef Pieprzyk is a Senior Principal Research Scientist at CSIRO Data61. His main research interest focus is Cryptology and Information Security and includes design and analysis of cryptographic algorithms (such as encryption, hashing and digital signatures), secure multiparty computations, cryptographic protocols, copyright protection, e-commerce, web security and cybercrime prevention. Dr Pieprzyk is a member of the editorial boards for International Journal of Information Security, Journal of Mathematical Cryptology, International Journal of Applied Cryptography, Fundamenta Informaticae, International Journal of Security and Networks and International Journal of Information and Computer Security. Dr Pieprzyk published 5 books, edited 10 books (conference proceedings published by Springer), 6 book chapters, and more than 300 papers in refereed journals and refereed international conferences.

Athanasios V. Vasilakos is Distinguished Full Professor with University of Technology Sydney, Australia. 2017,2018 Web of Science Highly Cited Researcher. More than 34000 citations, H-index=101. His main research interests : Cybersecurity, IoTs, Artificial Intelligence/Machine Learning, Blockchain Technologies, Big Data Analytics for Security. He served or is serving as an editor for many top technical journals, such as the IEEE Transactions on Network and Service Management, the IEEE Transactions on Cloud Computing, the IEEE Transactions on Services Computing, the IEEE Transactions on Information Forensics and Security, the IEEE Transactions on Cybernetics, the IEEE Transactions on Nanobioscience, the IEEE Transactions on Information Technology in Biomedicine, the ACM Transactions on Autonomous and Adaptive Systems, and the IEEE Journal on Selected Areas in Communications.

Michael N. Vrahatis is a professor at the Department of Mathematics, University of Patras, Greece. He is founder of the Computational Intelligence Laboratory of the same department which he has been directing since its beginning in 2004. He has been teaching at the undergraduate level for 35 years. Also, he has been teaching distance learning classes at the Hellenic Open University for 19 years. In addition, he has a teaching experience of 27 years at the post graduate level. Several of his doctoral and/or postdoctoral students serve as full professors, associate professors, assistant professors or lecturers in Greece and abroad. He has served as an experienced reviewer and evaluator of several proposals for research funding organizations and centers of excellence, including, among others, ERC (EU), ESF (EU), FWF (Austria), GSRT (Greece), HFRI (Greece), IAP (Belgium), MITACS (Canada) and NSF (USA). He has participated in the organization of over 300 conferences serving at several positions, and participated in 247 conferences, congresses and advanced schools as active participant, speaker or keynote speaker. He has served as a reviewer for 73 international scientific journals and 7 books. His editorial activities include work for 21 international scientific journals and journal special issues.

Ding Wang received his Ph.D. degree in Information Security at Peking University in 2017. He is currently supported by the ``Boya Postdoctoral Fellowship'' in Peking University. His research interests focus on password, authentication and provable security. As the first author (or corresponding author), he has published more than 50 papers at venues like ACM CCS, NDSS, Usenix Security, DSN, ESORICS, IEEE TDSC and IEEE TIFS. Seven of them are recognized as ``ESI highly cited papers''. His research has been reported by over 200 medias like Daily Mail, Forbes and ACM TechNews, appeared in the Elsevier 2017 "Article Selection Celebrating Computer Science Research in China", and resulted in the revision of the authentication guideline NIST SP800-63-2. He has been involved in the community as a TPC member for over 40 international conferences such as ISC、SEC、ACISP、CANS、TrustCom、ICPADS and GlobeCom. He has received the CCF Outstanding Doctoral Dissertation Award and the ACM China Doctoral Dissertation Award, the Best Paper Award at INSCRYPT 2018, and the First Prize of Natural Science Award of Ministry of Education.

Zheng Xu was born in Shanghai, China. He received the Ph.D. degrees from the School of Computing Engineering and Science, Shanghai University, Shanghai, in 2012. He is currently the tenure professor in Shanghai University, China. His current research interests include wireless communications, surveillance systems, and mobile crowd sensing with over 1,700 citations (H-index 22). He has authored or co-authored more than 90 publications including IEEE Trans. On Fuzzy Systems, IEEE Trans. On Automation Science and Engineering, IEEE Trans. On Emerging Topics in Computing, IEEE Trans. on Systems, Man, and Cybernetics: Systems, IEEE Trans. On Cloud Computing, IEEE Trans. on Big Data etc. He is also the associate editor of IEEE Access journal, Intelligent automation& soft computing journal, and Springer ECR journal.

Fangguo Zhang received his PhD from the School of Communication Engineering, Xidian University in 2001. He is currently a Professor at the School of Date and Computer Science of Sun Yat-sen University, China. He is the co-director of Guangdong Key Laboratory of Information Security Technology. His research mainly focuses on cryptography and its applications. Specific interests are elliptic curve cryptography, secure obfuscation, blockchain, anonymity and privacy, etc.